农林院校混合式教学的学习效果预警等级评价——以安徽农业大学高等数学课程为例  

Early Warning Level Evaluation of Learning Effect of Blended Teaching in Agricultural and Forestry Universities:Taking the Course of Advanced Mathematics of Anhui Agricultural University as an Example

作　　者：程娴 吴元翠[1] 杨俊仙[1] 王凯[1] CHENG Xian;WU Yuancui;YANG Junxian;WANG Kai

机构地区：[1]安徽农业大学信息与人工智能学院,安徽合肥230036

出　　处：《科教文汇》2024年第9期67-70,共4页Journal of Science and Education

基　　金：安徽省质量工程教学研究项目“专业相容实际问题驱动的线性代数教学探索”(2021jyxm0422);安徽农业大学教学研究项目(2020aujyxm113);安徽农业大学教学研究项目(2022aujyxm022);安徽农业大学课程思政示范课程“高等代数”(2022auszkc008);安徽省教育科学研究重点项目“大数据技术驱动的数字教育资源智慧化研究”(JKZ23001);安徽省质量工程数理化合作委员会项目“能力导向、数据驱动的数学类专业课程教学质量监测评价体系研究”(2022jyxm1583)

摘　　要：在混合式教学模式下,为了明确学生的学习效果所处的预警等级,选取线上学习通平台中可量化的学习指标作为研究对象,运用主成分分析法将这些具有相关性的指标简化为能够反映学生学习效果的综合性指标,并建立综合评价模型。学生可以利用该模型对自己的学习效果预警等级进行预测,根据不同的预警等级,学生可以及时地做出不同的调整策略。In order to make clear the early warning level of students' learning effect under the blended teaching mode,the learning indicators in online learning platform were selected as the research object,and principal component analysis method was used to simplify these indicators into comprehensive indicators which could reflect the students' learning effect,so as to establish a comprehensive evaluation model.Using this model,students could predict their own early warning level of learning effect,and according to different level,students could make different adjustment strategies in time.

关 键 词：混合式教学 学习效果 主成分 预警等级 

分 类 号：G645[文化科学—高等教育学]